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  • 2014.11_MM

    Rights statement: © ACM, 2014. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in MM '14 Proceedings of the ACM International Conference on Multimedia http://dx.doi.org/10.1145/2647868.2654980

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Just browsing?: understanding user journeys in online TV

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

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Just browsing? understanding user journeys in online TV. / Elkhatib, Yehia; Killick, Rebecca; Mu, Mu; Race, Nicholas.

MM '14 Proceedings of the ACM International Conference on Multimedia. New York : ACM, 2014. p. 965-968.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Harvard

Elkhatib, Y, Killick, R, Mu, M & Race, N 2014, Just browsing? understanding user journeys in online TV. in MM '14 Proceedings of the ACM International Conference on Multimedia. ACM, New York, pp. 965-968. https://doi.org/10.1145/2647868.2654980

APA

Elkhatib, Y., Killick, R., Mu, M., & Race, N. (2014). Just browsing? understanding user journeys in online TV. In MM '14 Proceedings of the ACM International Conference on Multimedia (pp. 965-968). ACM. https://doi.org/10.1145/2647868.2654980

Vancouver

Elkhatib Y, Killick R, Mu M, Race N. Just browsing? understanding user journeys in online TV. In MM '14 Proceedings of the ACM International Conference on Multimedia. New York: ACM. 2014. p. 965-968 https://doi.org/10.1145/2647868.2654980

Author

Elkhatib, Yehia ; Killick, Rebecca ; Mu, Mu ; Race, Nicholas. / Just browsing? understanding user journeys in online TV. MM '14 Proceedings of the ACM International Conference on Multimedia. New York : ACM, 2014. pp. 965-968

Bibtex

@inproceedings{67d3229bf7bd47689b104108390f2018,
title = "Just browsing?: understanding user journeys in online TV",
abstract = "Understanding the dynamics of user interactions and the behaviour of users as they browse for content is vital for advancements in content discovery, service personalisation, and recommendation engines which ultimately improve quality of user experience. In this paper, we analyse how more than 1,100 users browse an online TV service over a period of six months. Through the use of model-based clustering, we identify distinctive groups of users with discernible browsing patterns that vary during the course of the day.",
keywords = "online TV, user behaviour modelling , IPTV",
author = "Yehia Elkhatib and Rebecca Killick and Mu Mu and Nicholas Race",
note = "{\textcopyright} ACM, 2014. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in MM '14 Proceedings of the ACM International Conference on Multimedia http://dx.doi.org/10.1145/2647868.2654980",
year = "2014",
month = nov
doi = "10.1145/2647868.2654980",
language = "English",
isbn = "9781450330633",
pages = "965--968",
booktitle = "MM '14 Proceedings of the ACM International Conference on Multimedia",
publisher = "ACM",

}

RIS

TY - GEN

T1 - Just browsing?

T2 - understanding user journeys in online TV

AU - Elkhatib, Yehia

AU - Killick, Rebecca

AU - Mu, Mu

AU - Race, Nicholas

N1 - © ACM, 2014. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in MM '14 Proceedings of the ACM International Conference on Multimedia http://dx.doi.org/10.1145/2647868.2654980

PY - 2014/11

Y1 - 2014/11

N2 - Understanding the dynamics of user interactions and the behaviour of users as they browse for content is vital for advancements in content discovery, service personalisation, and recommendation engines which ultimately improve quality of user experience. In this paper, we analyse how more than 1,100 users browse an online TV service over a period of six months. Through the use of model-based clustering, we identify distinctive groups of users with discernible browsing patterns that vary during the course of the day.

AB - Understanding the dynamics of user interactions and the behaviour of users as they browse for content is vital for advancements in content discovery, service personalisation, and recommendation engines which ultimately improve quality of user experience. In this paper, we analyse how more than 1,100 users browse an online TV service over a period of six months. Through the use of model-based clustering, we identify distinctive groups of users with discernible browsing patterns that vary during the course of the day.

KW - online TV

KW - user behaviour modelling

KW - IPTV

U2 - 10.1145/2647868.2654980

DO - 10.1145/2647868.2654980

M3 - Conference contribution/Paper

SN - 9781450330633

SP - 965

EP - 968

BT - MM '14 Proceedings of the ACM International Conference on Multimedia

PB - ACM

CY - New York

ER -